{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-06-07T02:49:02.790821700Z",
     "start_time": "2025-06-07T02:49:02.772212Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "os.chdir(r'D:\\WORK\\WSfiles\\AI_model\\rencai\\rencai')\n",
    "data = pd.read_csv('./data/train.csv')\n",
    "lr = LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1100 entries, 0 to 1099\n",
      "Data columns (total 31 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Attrition                 1100 non-null   int64 \n",
      " 1   Age                       1100 non-null   int64 \n",
      " 2   BusinessTravel            1100 non-null   object\n",
      " 3   Department                1100 non-null   object\n",
      " 4   DistanceFromHome          1100 non-null   int64 \n",
      " 5   Education                 1100 non-null   int64 \n",
      " 6   EducationField            1100 non-null   object\n",
      " 7   EmployeeNumber            1100 non-null   int64 \n",
      " 8   EnvironmentSatisfaction   1100 non-null   int64 \n",
      " 9   Gender                    1100 non-null   object\n",
      " 10  JobInvolvement            1100 non-null   int64 \n",
      " 11  JobLevel                  1100 non-null   int64 \n",
      " 12  JobRole                   1100 non-null   object\n",
      " 13  JobSatisfaction           1100 non-null   int64 \n",
      " 14  MaritalStatus             1100 non-null   object\n",
      " 15  MonthlyIncome             1100 non-null   int64 \n",
      " 16  NumCompaniesWorked        1100 non-null   int64 \n",
      " 17  Over18                    1100 non-null   object\n",
      " 18  OverTime                  1100 non-null   object\n",
      " 19  PercentSalaryHike         1100 non-null   int64 \n",
      " 20  PerformanceRating         1100 non-null   int64 \n",
      " 21  RelationshipSatisfaction  1100 non-null   int64 \n",
      " 22  StandardHours             1100 non-null   int64 \n",
      " 23  StockOptionLevel          1100 non-null   int64 \n",
      " 24  TotalWorkingYears         1100 non-null   int64 \n",
      " 25  TrainingTimesLastYear     1100 non-null   int64 \n",
      " 26  WorkLifeBalance           1100 non-null   int64 \n",
      " 27  YearsAtCompany            1100 non-null   int64 \n",
      " 28  YearsInCurrentRole        1100 non-null   int64 \n",
      " 29  YearsSinceLastPromotion   1100 non-null   int64 \n",
      " 30  YearsWithCurrManager      1100 non-null   int64 \n",
      "dtypes: int64(23), object(8)\n",
      "memory usage: 266.5+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info ()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T02:49:41.177786500Z",
     "start_time": "2025-06-07T02:49:41.162233100Z"
    }
   },
   "id": "fc8abe1166578436"
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "   Attrition  Age     BusinessTravel              Department  \\\n0          0   37      Travel_Rarely  Research & Development   \n1          0   54  Travel_Frequently  Research & Development   \n2          1   34  Travel_Frequently  Research & Development   \n3          0   39      Travel_Rarely  Research & Development   \n4          1   28  Travel_Frequently  Research & Development   \n\n   DistanceFromHome  Education EducationField  EmployeeNumber  \\\n0                 1          4  Life Sciences              77   \n1                 1          4  Life Sciences            1245   \n2                 7          3  Life Sciences             147   \n3                 1          1  Life Sciences            1026   \n4                 1          3        Medical            1111   \n\n   EnvironmentSatisfaction  Gender  ...  RelationshipSatisfaction  \\\n0                        1    Male  ...                         3   \n1                        4  Female  ...                         1   \n2                        1    Male  ...                         4   \n3                        4  Female  ...                         3   \n4                        1    Male  ...                         1   \n\n   StandardHours StockOptionLevel  TotalWorkingYears TrainingTimesLastYear  \\\n0             80                1                  7                     2   \n1             80                1                 33                     2   \n2             80                0                  9                     3   \n3             80                1                 21                     3   \n4             80                2                  1                     2   \n\n   WorkLifeBalance  YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion  \\\n0                4               7                  5                       0   \n1                1               5                  4                       1   \n2                3               9                  7                       0   \n3                3              21                  6                      11   \n4                3               1                  0                       0   \n\n   YearsWithCurrManager  \n0                     7  \n1                     4  \n2                     6  \n3                     8  \n4                     0  \n\n[5 rows x 31 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Attrition</th>\n      <th>Age</th>\n      <th>BusinessTravel</th>\n      <th>Department</th>\n      <th>DistanceFromHome</th>\n      <th>Education</th>\n      <th>EducationField</th>\n      <th>EmployeeNumber</th>\n      <th>EnvironmentSatisfaction</th>\n      <th>Gender</th>\n      <th>...</th>\n      <th>RelationshipSatisfaction</th>\n      <th>StandardHours</th>\n      <th>StockOptionLevel</th>\n      <th>TotalWorkingYears</th>\n      <th>TrainingTimesLastYear</th>\n      <th>WorkLifeBalance</th>\n      <th>YearsAtCompany</th>\n      <th>YearsInCurrentRole</th>\n      <th>YearsSinceLastPromotion</th>\n      <th>YearsWithCurrManager</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>37</td>\n      <td>Travel_Rarely</td>\n      <td>Research &amp; Development</td>\n      <td>1</td>\n      <td>4</td>\n      <td>Life Sciences</td>\n      <td>77</td>\n      <td>1</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>3</td>\n      <td>80</td>\n      <td>1</td>\n      <td>7</td>\n      <td>2</td>\n      <td>4</td>\n      <td>7</td>\n      <td>5</td>\n      <td>0</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>54</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>1</td>\n      <td>4</td>\n      <td>Life Sciences</td>\n      <td>1245</td>\n      <td>4</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>1</td>\n      <td>80</td>\n      <td>1</td>\n      <td>33</td>\n      <td>2</td>\n      <td>1</td>\n      <td>5</td>\n      <td>4</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1</td>\n      <td>34</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>7</td>\n      <td>3</td>\n      <td>Life Sciences</td>\n      <td>147</td>\n      <td>1</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>4</td>\n      <td>80</td>\n      <td>0</td>\n      <td>9</td>\n      <td>3</td>\n      <td>3</td>\n      <td>9</td>\n      <td>7</td>\n      <td>0</td>\n      <td>6</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>39</td>\n      <td>Travel_Rarely</td>\n      <td>Research &amp; Development</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Life Sciences</td>\n      <td>1026</td>\n      <td>4</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>3</td>\n      <td>80</td>\n      <td>1</td>\n      <td>21</td>\n      <td>3</td>\n      <td>3</td>\n      <td>21</td>\n      <td>6</td>\n      <td>11</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1</td>\n      <td>28</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Medical</td>\n      <td>1111</td>\n      <td>1</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>1</td>\n      <td>80</td>\n      <td>2</td>\n      <td>1</td>\n      <td>2</td>\n      <td>3</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 31 columns</p>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T02:49:53.130947800Z",
     "start_time": "2025-06-07T02:49:53.103970Z"
    }
   },
   "id": "568b493fc34fe092"
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "Attrition                    int64\nAge                          int64\nBusinessTravel              object\nDepartment                  object\nDistanceFromHome             int64\nEducation                    int64\nEducationField              object\nEmployeeNumber               int64\nEnvironmentSatisfaction      int64\nGender                      object\nJobInvolvement               int64\nJobLevel                     int64\nJobRole                     object\nJobSatisfaction              int64\nMaritalStatus               object\nMonthlyIncome                int64\nNumCompaniesWorked           int64\nOver18                      object\nOverTime                    object\nPercentSalaryHike            int64\nPerformanceRating            int64\nRelationshipSatisfaction     int64\nStandardHours                int64\nStockOptionLevel             int64\nTotalWorkingYears            int64\nTrainingTimesLastYear        int64\nWorkLifeBalance              int64\nYearsAtCompany               int64\nYearsInCurrentRole           int64\nYearsSinceLastPromotion      int64\nYearsWithCurrManager         int64\ndtype: object"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T02:50:04.251314700Z",
     "start_time": "2025-06-07T02:50:04.221133Z"
    }
   },
   "id": "5860431265b8cbea"
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.7736507936507936\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 随机森林\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "# 假设数据已经加载，这里需要添加数据加载代码\n",
    "# data = pd.read_csv('your_data.csv')\n",
    "\n",
    "# 创建一个LabelEncoder对象\n",
    "le = LabelEncoder()\n",
    "columns_to_drop = ['Attrition', 'EmployeeNumber', 'Over18', 'StandardHours']\n",
    "X = data.drop(columns=columns_to_drop)\n",
    "y = data['Attrition']\n",
    "\n",
    "# 修正：将数据分割为训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 对训练集和测试集中的每一列非数值特征进行编码\n",
    "categorical_cols = X_train.select_dtypes(include=['object']).columns\n",
    "for col in categorical_cols:\n",
    "    # 修正：先对训练集拟合和转换，然后仅对测试集转换\n",
    "    X_train[col] = le.fit_transform(X_train[col])\n",
    "    X_test[col] = le.transform(X_test[col])\n",
    "\n",
    "# 创建RandomForestClassifier对象\n",
    "rf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "rf.fit(X_train, y_train)\n",
    "\n",
    "y_pred = rf.predict_proba(X_test)[:, 1]\n",
    "auc = roc_auc_score(y_test, y_pred)\n",
    "print('AUC:', auc)\n",
    "\n",
    "importances = rf.feature_importances_\n",
    "feature_importances = pd.Series(importances, index=X_train.columns).sort_values(ascending=False)\n",
    "feature_importances.plot(kind='barh')\n",
    "plt.tight_layout()  # 修正：确保图表布局完整\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T03:31:09.227132300Z",
     "start_time": "2025-06-07T03:31:08.897077200Z"
    }
   },
   "id": "bd07898b5ebf8b74"
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 受教育程度\n",
    "sns.countplot(x='Education', hue='Attrition', data=data)\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T03:17:13.791699800Z",
     "start_time": "2025-06-07T03:17:13.688294500Z"
    }
   },
   "id": "a7e910a0eed8bb31"
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Gender  Attrition\n",
      "0  Female        447\n",
      "1    Male        653\n",
      "   Gender  Attrition\n",
      "0  Female   0.154362\n",
      "1    Male   0.166922\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 性别的离职率\n",
    "data_temp = data.copy()\n",
    "gender_group = data_temp.groupby('Gender', as_index=False)['Attrition'].count()\n",
    "sns.barplot(x='Gender', y='Attrition', data=gender_group)\n",
    "print(gender_group)\n",
    "print(data_temp.groupby('Gender', as_index=False)['Attrition'].mean())\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T03:23:39.160570900Z",
     "start_time": "2025-06-07T03:23:39.095767500Z"
    }
   },
   "id": "dfa0dcbe520fcf6"
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    YearsAtCompany  salary_ratio\n",
      "0                0           inf\n",
      "1                1   4565.485075\n",
      "2                2   2602.335106\n",
      "3                3   1666.378007\n",
      "4                4   1370.265625\n",
      "5                5   1095.005298\n",
      "6                6    946.022436\n",
      "7                7    926.191837\n",
      "8                8    778.677966\n",
      "9                9    785.729167\n",
      "10              10    665.451087\n",
      "11              11    572.464115\n",
      "12              12    788.055556\n",
      "13              13    625.543590\n",
      "14              14    656.173469\n",
      "15              15    483.638095\n",
      "16              16    651.671875\n",
      "17              17    574.892157\n",
      "18              18    496.430556\n",
      "19              19    745.118421\n",
      "20              20    569.654762\n",
      "21              21    711.271429\n",
      "22              22    726.797203\n",
      "23              24    554.260417\n",
      "24              25    673.133333\n",
      "25              26    528.243590\n",
      "26              27    662.703704\n",
      "27              29    674.689655\n",
      "28              30    374.833333\n",
      "29              31    609.376344\n",
      "30              32    546.416667\n",
      "31              33    465.690909\n",
      "32              34    495.764706\n",
      "33              36    536.541667\n",
      "34              37    374.918919\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 工作年限与薪资比率\n",
    "data_temp = data.copy()\n",
    "data_temp['salary_ratio'] = data_temp['MonthlyIncome'] / data_temp['YearsAtCompany']\n",
    "sns.scatterplot(x='YearsAtCompany', y='salary_ratio', hue='Attrition', data=data_temp)\n",
    "print(data_temp.groupby('YearsAtCompany', as_index=False)['salary_ratio'].mean())\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-07T03:27:04.861009600Z",
     "start_time": "2025-06-07T03:27:04.744420200Z"
    }
   },
   "id": "feacf611010e9190"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
